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If you love learning through books your next skill on Python for beginners, Machine Learning with Python, Data Cleaning and Predictive Modeling with Python and more.
Skills you'll gain: Algorithms, Data Analytics with Spark, Data Structures, More..
Top Books on Python for beginners, Machine Learning with Python and more: If you love reading books and love to learn through books your next skill or want to upgrade your skills on Python Programming, Machine Learning, Data Science, Data Cleaning and Modeling with Python, Programming with Data using Python and more! Than, you are at the right place 👍.
In this text, we will take you on a journey of books exploration for learning Python, Data Science and other related skills.
Whether, you are a beginner, recent graduate or an experienced professional, you will find good Python books here, suited to your level of learning and educating.
Following is our list of Top Python Books:
Python for Beginners: This book is an essential resource for beginners planning to learn the python in most simplest of way, except it’s name 😊.
With this pack of book and CD, you will able to learn Python practically by working on 52 brilliantly build real use cases and exercises. You will start learning from the basics of how python works, how to write optimized programs, how to read, write code files; and how to debug your mistakes. In addition you would learn tips and tricks that most professional programmers use.
You will start with installing python to setting-up environment to declaring variables to OOPs concept to building your own basic web and gaming application in python.
In comes with a book plus DVD with more than 5 hours of complete python course.
👉 To access this book, click here –
Python programming for beginners: This book is another great resource for absolute beginners, who never coded but want to get into improving their coding skills. Here you will learn –
👉 To access this book, click here –
This book is for advanced Python programmers or experienced Python professionals, who want to optimize their codes and use advanced concepts of Python programming. From this book they will learn –
👉 To access this book, click here –
Acquire a comprehensive understanding of machine learning through this interactive eBook, “Machine Learning with Python for Everyone.” This engaging resource encompasses enlightening text, tables, step-by-step lists, images, interactive exercises, glossary flashcards, and review activities.
This course is built by “Pearson u Certify Course and Labs”, and features thorough pre and post-assessment tests, comprising over 100 practice questions.
This book is complimented by the award-winning uCertify Labs, which serve as a bridge between theoretical knowledge and practical application. These labs provide competency-based, interactive, 24×7 online training, simulating real-world networking hardware, software applications, operating systems, and command-line interfaces.
With 30+ labs, students gain hands-on experience with the practical exercises in a virtual environment, tackling genuine operating system and hardware challenges.
👉 To learn machine learning with python this interactive ebook would give you a wonderful learning experience. To access this book, click here –
This is the our final book advice for this article. This book will teaches you, how to approach and solve Data Analytics Problems using latest technologies Spark, PySpark and other in-demand Open Source Tools.
Spark stands as the cornerstone of the today Big Data revolution. Spark gives power to data professionals to enhance efficiency and performance across diverse data processing and analytics tasks.
In this comprehensive guide, Big Data expert Jeffrey Aven provides all the essential insights to harness Spark, along with its extensions, sub-projects, and broader ecosystem.
Aven will give a language-agnostic introduction to fundamental Spark concepts, with extensive programming examples utilizing the user-friendly PySpark development environment.
This ebook Python-centric approach ensures accessibility for a wide audience, including data professionals, analysts, and developers—irrespective of their Hadoop or Spark expertise.
This book will cover a wide spectrum from basic to advanced Spark programming, Spark SQL to machine learning.
With this book, you will be able to proficiently handle various data types with Spark: streaming, structured, semi-structured, and unstructured.
With concise topic overviews facilitating rapid comprehension and hands-on exercises preparing you for real-world problem-solving, this book is your key to mastering Spark using Python.
👉 To access this book, click on the link below –
